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Algorithmica
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On Dynamic Shortest Paths Problems

On dynamic shortest paths problems
Authors: Liam Roditty; Uri Zwick;

On Dynamic Shortest Paths Problems

Abstract

From the authors' abstract: ``We obtain the following results related to dynamic versions of the shortest-paths problem:'' (i) ``Reductions that show that the incremental and decremental single-source shortest-paths problems, for weighted directed or undirected graphs, are, in a strong sense, at least as hard as the static all-pairs shortest-paths problem.'' This indicates that it will be difficult to improve classical algorithms for these problems, such as the decremental algorithm in [\textit{S. Even} and \textit{Y. Shiloach}, J. ACM 28, No. 1, 1--4 (1981; Zbl 0454.68075)]. ``We also obtain slightly weaker results for the corresponding unweighted problems.'' (ii) ``A randomized fully-dynamic algorithm for the all-pairs shortest-paths problem in directed unweighted graphs with an amortized update time of \(\widetilde O(m\sqrt{n})\) (we use \(\widetilde O\) to hide small poly-logarithmic factors) and a worst case query time is \(O(n^{3/4})\)'', where \(n\) is the number of vertices and \(m\) is the number of arcs. (iii) ``A deterministic \(O(n^2\log n)\) time algorithm for constructing an \(O(\log n)\)-spanner with \(O(n)\) edges for any weighted undirected graph on \(n\) vertices'', that is, a subgraph in which the distance between any two vertices \(U\) and \(V\) is at most \(O(\log n)\) times the distance between \(U\) and \(V\) in the original graph. ``The algorithm uses a simple algorithm for incrementally maintaining single-source shortest-paths tree up to a given distance.'' The previously faster algorithm for constructing such spanners runs in \(O(mn)\) time [\textit{I. Althöfer} et al., Discrete Comput. Geom. 9, No. 1, 81--100 (1993; Zbl 0762.05039)].

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Keywords

shortest paths, Distance in graphs, dynamic algorithms, Randomized algorithms, weighted directed graph, randomized algorithm, spanners, time-complexity, Graph algorithms (graph-theoretic aspects), Graph theory (including graph drawing) in computer science, Analysis of algorithms, Paths and cycles

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
110
Top 10%
Top 1%
Top 10%
bronze